rag-pipeline

Official

Deploy a practical RAG pipeline with retrieval.

Authoreco2-team
Version1.0.0
Installs0

System Documentation

What problem does it solve?

RAG pipelines are complex to implement and evaluate; this guide provides a self-contained blueprint to build and test a Retrieval-Augmented Generation workflow, including context retrieval, evidence tracking, and phased evaluation.

Core Features & Use Cases

  • Retrieval-driven QA with evidence citation
  • Phase 1-4 evaluation (citation, nugget completeness, groundedness, and next steps)
  • Modular integration with LocalAssetRetriever and TagBasedRetriever
  • Reference materials and prompts to guide prompt strategies

Quick Start

  1. Prepare your knowledge base data and a user query.
  2. Run the RagPipeline driver to perform retrieval, assemble evidence, and generate an answer.
  3. Review the Phase 1-4 evaluation results to confirm citation relevance, completeness, and grounding.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: rag-pipeline
Download link: https://github.com/eco2-team/backend/archive/main.zip#rag-pipeline

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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